DCASE Workshop 2026: Call for Papers
Aleksandra Teng Ma
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The 11th Workshop on Detection and Classification of Acoustic Scenes and Events, DCASE 2026, will be held in Boston on 28-29 October. It is co-organized by Bose Corporation, MIT, and Tufts University.
DCASE Workshop 2026 will be co-located with the BioDCASE Workshop (date and format TBD), which focuses on Bio-acoustics, and the SANE Workshop (October 30 at MIT), which is a one-day event gathering researchers and students in speech and audio from the Northeast of the American continent. The SANE Workshop alternates between Boston and New York City every year.
As in previous years, the workshop is organized in conjunction with the DCASE challenge. We aim to bring together researchers from many different universities, research organizations and companies with an interest in the topic, and provide the opportunity for scientific exchange of ideas and opinions.
We invite submissions on the topics of computational analysis of acoustic scenes and sound events, including but not limited to:
Tasks in computational environmental audio analysis
Environmental audio classification and tagging
Sound event detection and localization
Natural language based audio retrieval
Bio-acoustics
Audio captioning
Environmental audio generation
Anomalous sound detection
Audio source separation
Multimodal environmental audio analysis and generation
Audio question answering
Audio-language models for acoustic reasoning and scene understanding
Large Audio Language Models (LALMs) for audio, acoustics, and scene grounding
Audio-visual spatial segmentation
Language-guided spatial and embodied audio understanding
Controllable natural language based audio generation
Perception-aligned evaluation of generative audio beyond FID/FAD
Video to audio generation
Multimodal LALM benchmarks
Multimodal representation learning and foundational models
Methods for computational environmental audio analysis
Signal processing and auditory-motivated methods
Machine learning methods: e.g. feature learning, self-supervised learning, foundation modeling for environmental audio
Cross-disciplinary methods involving, e.g., acoustics, biology, psychology, geography, materials science, transports science
Generative modeling
Perceptual analysis and modeling of acoustic environments
Resources, applications, and evaluations of computational environmental-audio analysis
Publicly available datasets: e.g., multichannel datasets, noisy datasets, missing datasets, mismatched device datasets
Publicly available software, taxonomies, and ontologies, evaluation procedures
Benchmark datasets for evaluation
Modeling, simulation, and synthesis of realistic acoustic scenes
Ethics, privacy, responsible research
Applications
We strongly encourage reproducible research with open-source code and open data, though it is not mandatory.
Important notice for challenge participants: Description of systems submitted to the DCASE2026 Challenge is expected to be expanded from the challenge technical report submissions to comply with the format of a scientific paper. This generally means describing the scientific novelty and including more discussions such as ablation studies for additional modules in your method.
Important Dates (midnight AoE)
05 Jul 2026, Workshop abstract submission deadline
12 Jul 2026, Workshop final submission deadline
06 Sep 2026, Notification of paper acceptance
20 Sep 2026, Camera ready submission
28 Oct 2026 - 29 Oct 2026, Workshop
DCASE 2026 Technical Program Chairs
Frederic Font, Universitat Pompeu Fabra
Marko Stamenovic, Bose Corp.
Bashima Islam, Worcester Polytechnic Institute
Mark Cartwright, New Jersey Institute of Technology
DCASE 2026 General Chairs
Shuo Zhang, Bose Corp./Tufts University
Anna Huang, Massachusetts Institute of Technology
Paris Smaragdis, Massachusetts Institute of Technology
If you have any questions, please contact Frederic Font at freder...@upf.edu.